Morgan Stanley Machine Learning for Good Hackathon
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Morgan Stanley Machine Learning for Good Hackathon
December 10, 2021
On Th, Dec 9th, the Child Mind Found participated in the judging of the Morgan Stanley Machine Learning for Skilful Hackathon. But we weren't just judges — the hackathon challenge was to automate analysis of data from Kid Mind Constitute Crunch study on the mental health impacts of the pandemic, and the winning approaches will be used to develop a software platform that our scientists tin can use into the hereafter.
The Child Listen Found judges were Michael P. Milham, MD, PhD, Phyllis Dark-green and Randolph Cōwen Scholar and Vice President of Enquiry; and Aki Nikolaidis, PhD, Inquiry Scientist in the Center for the Developing Brain. The winning squad of volunteer technologists from Morgan Stanley, named the "Innovative Linguists," set out to clarify behavioral patterns in the survey responses that have "untapped potential for addressing psychological concerns and eventually using them to lay out a technical roadmap for devising intelligent tools for proactive assistance."
You can read more virtually the hackathon and the judging hither.
"I was very impressed with the submissions and what the talented teams at Morgan Stanley managed to achieve in such a short time with our data," says Dr. Nikolaidis. "I call up that the results from the hackathon are very promising, and I'chiliad excited to see how we can employ these tools to proceeds insight into how the pandemic is affecting children and families."
The hackathon is just one mode that the Child Mind Institute are collaborating. We're proud to exist a member of the Morgan Stanley Alliance for Children's Mental Health, which is bringing parents, teachers, and kids together with resource for promoting mental wellness during the pandemic. The CRISIS Survey, which data fueled the Auto Learning for Good hackathon, was made possible by Morgan Stanley, as is the Kid Mind Plant's new Family Resource Center.
The hackathon is a particularly special collaboration because it exemplifies the open up source/open up scientific discipline philosophy that the Child Listen Institute has pioneered in brain imaging and children'due south mental health research. Much of our energy is devoted to developing tools and databases so that researchers around in the world can help accelerate the pace of discovery. In this instance, the Child Heed Constitute is the i benefiting from the tools and expertise of a partner!
Source: https://childmind.org/blog/machine-learning-for-good-hackathon/
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